Collaboration or competition? The value of sector-wide collaboration in educational technology research.

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Title: Collaboration or competition? The value of sector-wide collaboration in educational technology research.
Authors: Huijser, Henk1 h.huijser@qut.edu.au, Ames, Kate2, Bozkurt, Aras3, Corrin, Linda4, Costello, Eamon5, Cowling, Michael6, Czerniewicz, Laura7, Deneen, Chris8, Feifei Han9, Littlejohn, Allison10, Wise, Alyssa11, Wright, Mary12, Zou, Tracy13
Source: Australasian Journal of Educational Technology. 2024, Vol. 40 Issue 3, p1-8. 8p.
Subject Terms: *Generative artificial intelligence, *Educational cooperation, *COVID-19 pandemic, *Education research, Editorial writing
Abstract: Collaboration or competition? This question is at the centre of this editorial, which explores the importance of sector-wide approaches to research into educational technology. This has become particularly relevant in recent years in response to a range of significant challenges or disruptions the tertiary education sector has had to face, for example, responding to the COVID-19 pandemic or the emergence of new generative AI tools. To address these challenges, we have taken a collaborative approach to writing this editorial, with contributing authors from across the world responding to four key questions. The responses to those questions were then arranged into four key themes: collaboration in response to disruption, individual benefits from collaboration, communal benefits from collaboration, and ensuring collaborative wisdom. The editorial concludes with a section that situates the preceding discussion in a broader context and challenges us to consider our wider impact on the world as a sector and, in particular, as related to educational technology. We conclude that collaboration is a must and has the potential to empower us to push the boundaries of what is possible. [ABSTRACT FROM AUTHOR]
Copyright of Australasian Journal of Educational Technology is the property of Australasian Journal of Educational Technology (AJET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Collaboration or competition? The value of sector-wide collaboration in educational technology research.
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  Data: Collaboration or competition? This question is at the centre of this editorial, which explores the importance of sector-wide approaches to research into educational technology. This has become particularly relevant in recent years in response to a range of significant challenges or disruptions the tertiary education sector has had to face, for example, responding to the COVID-19 pandemic or the emergence of new generative AI tools. To address these challenges, we have taken a collaborative approach to writing this editorial, with contributing authors from across the world responding to four key questions. The responses to those questions were then arranged into four key themes: collaboration in response to disruption, individual benefits from collaboration, communal benefits from collaboration, and ensuring collaborative wisdom. The editorial concludes with a section that situates the preceding discussion in a broader context and challenges us to consider our wider impact on the world as a sector and, in particular, as related to educational technology. We conclude that collaboration is a must and has the potential to empower us to push the boundaries of what is possible. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Australasian Journal of Educational Technology is the property of Australasian Journal of Educational Technology (AJET) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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